Levy matters V[electronic resource] ...
Andersen, Lars Norvang.

 

  • Levy matters V[electronic resource] :functionals of Levy processes /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 519.282
    書名/作者: Levy matters V : functionals of Levy processes // by Lars Norvang Andersen ... [et al.].
    其他題名: Levy matters 5
    其他作者: Andersen, Lars Norvang.
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: xvi, 224 p. : : ill. (some col.), digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Levy processes.
    標題: Mathematics.
    標題: Probabilities.
    標題: Probability Theory and Stochastic Processes.
    ISBN: 9783319231389
    ISBN: 9783319231372
    內容註: Makoto Maejima: Classes of infinitely divisible distributions and examples -- Lars Norvang Andersen, Soren Asmussen, Peter W. Glynn and Mats Pihlsgard: Levy processes with two-sided reflection -- Persistence probabilities and exponents -- Frank Aurzada and Thomas Simon: Persistence probabilities and exponents.
    摘要、提要註: This three-chapter volume concerns the distributions of certain functionals of Levy processes. The first chapter, by Makoto Maejima, surveys representations of the main sub-classes of infinitesimal distributions in terms of mappings of certain Levy processes via stochastic integration. The second chapter, by Lars Norvang Andersen, Soren Asmussen, Peter W. Glynn and Mats Pihlsgard, concerns Levy processes reflected at two barriers, where reflection is formulated a la Skorokhod. These processes can be used to model systems with a finite capacity, which is crucial in many real life situations, a most important quantity being the overflow or the loss occurring at the upper barrier. If a process is killed when crossing the boundary, a natural question concerns its lifetime. Deep formulas from fluctuation theory are the key to many classical results, which are reviewed in the third chapter by Frank Aurzada and Thomas Simon. The main part, however, discusses recent advances and developments in the setting where the process is given either by the partial sum of a random walk or the integral of a Levy process
    電子資源: http://dx.doi.org/10.1007/978-3-319-23138-9
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